Publications by authors named "Kumari Priya"

Intrinsically Disordered Proteins (IDPs) and Intrinsically Disordered Regions (IDRs) are renowned for their dynamic structural characteristics and conformational adaptability, allowing them to assume diverse conformations in response to prevailing environmental conditions. This inherent flexibility facilitates their interactions with molecular targets, enabling them to engage in numerous cellular processes without any excessive energy consumption. This adaptability is instrumental in shaping cellular complexity and enhancing adaptability.

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Present study investigated anti-obesity potential of Withania somnifera (L.) Dunal leaf extract (WSLE). Phytochemical characterization of WSLE was performed by UPLC/MS-QToF and HPLC-based analysis.

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In the present work, a new class of thiazole-isatin-1,2,3-triazole hybrids (5 a-5 p) and precursor alkyne hybrids (6 a-6 d) has been reported with their in-silico studies. After structural identifications using different spectroscopic technique such as FTIR, H and C NMR and HRMS, the synthesized hybrids were explored for their biological potential using molecular docking and molecular dynamics calculations. Molecular docking results revealed that compound 5 j showed maximum binding energy i.

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The association between Insulin resistance, a global health issue, and endocrine disruptors (EDCs), chemicals interfering with the endocrine system, has sparked concern in the scientific community. This article provides a comprehensive review of the existing literature regarding the intricate relationship between EDCs and insulin resistance. Phthalates, commonly found in consumer products, are well-established EDCs with documented effects on insulin-signaling pathways and metabolic processes.

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Leishmaniasis is one of the Neglected Tropical Diseases (NTDs), a zoonotic disease of vector-borne nature that is caused by a protozoan parasite . This parasite is transmitted by the vector sandfly into the human a bite. Visceral leishmaniasis (VL), also called kala-azar, is the most fatal among the types of leishmaniasis, with high mortality mostly spread in the East Africa and South Asia regions.

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Cardiovascular diseases, including heart failure, pose significant challenges in medical practice, necessitating innovative approaches for cardiac repair and regeneration. Cardiac tissue engineering has emerged as a promising solution, aiming to develop functional and physiologically relevant cardiac tissue constructs. Replicating the native heart microenvironment, with its complex and dynamic milieu necessary for cardiac tissue growth and function, is crucial in tissue engineering.

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Fibrodysplasia ossificans progressiva (FOP), also known as Stoneman syndrome, is a rare genetic disorder characterized by abnormal bone development caused by activating mutations of the gene. FOP affects both the developmental and postnatal stages, resulting in musculoskeletal abnormalities and heterotopic ossification. Current treatment options for FOP are limited, emphasizing the need for innovative therapeutic approaches.

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The COVID-19 disease continues to cause devastation for almost 3 years of its identification. India is one of the leading countries to set clinical trials, production, and administration of COVID-19 vaccination. Recent COVID-19 vaccine tracker record suggests that 12 vaccines are approved in India, including protein subunit, RNA/DNA, non-replicating viral vector, and inactivated vaccine.

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Article Synopsis
  • * Researchers created an interactive network mapping the relationships between various biological molecules, analyzing over 10,000 research articles to build a comprehensive scale-free network consisting of diverse proteins, genes, and known drugs.
  • * Large-scale docking studies revealed that existing FDA-approved drugs, specifically benznidazole and nifurtimox, demonstrate strong binding affinities to key proteins in the network, potentially aiding in the development of new vaccines and treatments for Chagas disease.
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The rare, fastest-germinating, frequently invasive mucorale, Cunninghamella bertholletiae, is intractable due to its imprecise etiology. Cunninghamella bertholletiae spores can infect both immunocompromised and immunocompetent individuals to cause mucormycosis. Sub-optimal drug-susceptibility further limits its treatment options.

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The Myo-Inositol-1-phosphate synthase (MIPS) gene family is involved in the myo-inositol synthesis and plays a significant role in signal transduction, membrane biogenesis, oligosaccharides synthesis, auxin storage and transport, programmed cell death and abiotic stress tolerance in plants. This study comprehensively identified the MIPS genes in Rosaceae plant species, and 51 MIPS genes were identified from 26 Rosaceae species. The phylogenetic analysis divided the MIPSs into two clades (clade I; subfamily specific, and clade II; subfamily specific).

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Background: Newer American College of Gastroenterology (ACG) and Canadian Association of Gastroenterology (CAG) guidelines do not suggest endoscopy to investigate alarm features for dyspepsia patients under the age of 60 to exclude upper gastrointestinal (GI) neoplasia. The validity of this recommendation has not been evaluated in our population. So, this study was conducted to assess the utility of upper GI endoscopy to investigate alarm features in dyspepsia patients less than 60 years of age to exclude upper GI neoplasia.

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The GAI-RGA- and -SCR (GRAS) proteins regulate a myriad of biological functions in plants. The C-terminus of GRAS proteins is highly conserved, whereas the N-terminus is hypervariable. So far, GRAS proteins have been reported in more than 50 plant species.

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Objectives: Oral cancer screening can assist in the early detection of oral potentially malignant lesions (OPMLs) and prevention of oral cancers. It can be challenging for clinicians to differentiate OPMLs from benign conditions. Adjunct screening tools such as fluorescence visualisation (FV) and DNA image cytometry (DNA-ICM) have shown success in identifying OPMLs in high-risk clinics.

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An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It was reported to be caused by a novel coronavirus which has infected approximately 220 million people worldwide with a death toll of 4.5 million as of September 2021.

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The prevalence of nonalcoholic steatohepatitis (NASH), characterized by fatty liver, oxidative injury, and inflammation, has considerably increased in the recent years. Due to the complexity of NASH pathogenesis, compounds which can target different mechanisms and stages of NASH development are required. A robust screening model with translational capability is also required to develop therapies targeting NASH.

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The development of a new vaccine is a challenging exercise involving several steps including computational studies, experimental work, and animal studies followed by clinical studies. To accelerate the process, in silico screening is frequently used for antigen identification. Here, we present Vaxi-DL, web-based deep learning (DL) software that evaluates the potential of protein sequences to serve as vaccine target antigens.

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Background And Objectives: Diabetes Mellitus, commonly known as DM, is a metabolic disorder which is characterized by high blood glucose level, i.e., chronic hyperglycemia.

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Aim: The intractable, mucormycosis, caused by Mucorales primarily targets immunocompromised individuals. The first-line therapy, intravenous liposomal amphotericin B and surgical debridement of necrotic tissue, is contraindicative in individuals with compromised kidneys. This invokes a pressing need to identify safer treatment options.

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The health catastrophe originated by COVID-19 pandemic construed profound impact on a global scale. However, a plethora of research studies corroborated convincing evidence conferring severity of infection of SARS-CoV-2 with the aberrant gut microbiome that strongly speculated its importance for development of novel therapeutic modalities. The intense exploration of probiotics has been envisaged to promote the healthy growth of the host, and restore intestinal microecological balance through various metabolic and physiological processes.

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Antigen identification is an important step in the vaccine development process. Computational approaches including deep learning systems can play an important role in the identification of vaccine targets using genomic and proteomic information. Here, we present a new computational system to discover and analyse novel vaccine targets leading to the design of a multi-epitope subunit vaccine candidate.

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Zoonotic Novel coronavirus disease 2019 (COVID-19) is highly pathogenic and transmissible considered as emerging pandemic disease. The virus belongs from a large virus Coronaviridae family affect respiratory tract of animal and human likely originated from bat and homology to SARA-CoV and MERS-CoV. The virus consists of single-stranded positive genomic RNA coated by nucleocapsid protein.

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Preclinical and clinical data reveal that inflammation is strongly correlated with the pathogenesis of a number of diseases including those of cancer, Alzheimer, and diabetes. The inflammatory cascade involves a multitude of cytokines ending ultimately with the activation of COX-2/LOX for the production of prostaglandins and leukotrienes. While the available inhibitors for these enzymes suffer from nonoptimal selectivity, in particular for COX-2, we present here the results of purposely designed tartarate derivatives that exhibit favorable selectivity and significant effectiveness against COX-2 and LOX.

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Nitrilase enzyme (a green catalyst) is an industrially important enzyme which hydrolyses various nitrile compounds (containing -CN functional group) into amides and corresponding carboxylic acids. The current study explored the binding affinity and a method to enhance the catalysis activity of the enzyme using computational approaches. Four mutants were generated using sequential site-directed mutagenesis aiming that an increase in hydrogen bonds that will further increase binding efficiency towards the ligand.

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